TimesFM-3

TimesFM-3

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About

TimesFM-3 is a state-of-the-art time series foundation model designed for highly accurate multivariate forecasting in a single forward pass. The 330 million parameter model is pre-trained on a real-world and synthetic time-series corpus comprising more than 1 trillion time points, building on the efficiency and zero-shot generalization of earlier TimesFM models. It can jointly predict multiple coevolving time series and capture dependencies that improve accuracy without task-specific fine-tuning. The model supports multiple targets with point and quantile forecasts, past covariates that are known only historically, and past-future dynamic covariates such as planned promotions, holidays, or weather forecasts. TimesFM-3 uses a decoder-only transformer architecture, processes contiguous data in patches of 32 time steps, and applies alternating causal temporal attention and full variate attention to combine patterns across time and related series.

About

No-Code enterprise AI platform that turns raw data into improved business decisions. When searching for useful data in vast data lakes, spurious correlations pollute the results, leading to signals that organizations cannot trust. causaLake intelligently uncovers the most valuable data for a given use case, it is the only technology capable of penetrating beneath correlated signals in similar datasets and identifying causal drivers. Causal AI models represent how systems function, from economies to businesses to biological systems. They are truly trustworthy and transparent, combining the best of human knowledge and AI. causaLab is the most powerful causal model discovery technology. The point of AI isn’t just to predict the future, it’s to shape it. To make high-quality decisions, AI needs to understand human context and organizations’ goals and constraints. We pioneered decisionOS to bridge the gap between predictions and decisions.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Data scientists, researchers, and developers wanting to forecast multiple related time series and incorporate historical and known future signals

Audience

Companies in search of a no-code AI platform to turn raw data into improved business decisions

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Google
Founded: 1998
United States
research.google/blog/timesfm-3-a-zero-shot-foundation-model-for-multivariate-forecasting/

Company Information

causaLens
United Kingdom
www.causalens.com/causal-decision-making-ai-platform/

Alternatives

Alternatives

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Qwen-7B

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DataLux

DataLux

Vivorbis

Categories

Categories

Integrations

No info available.

Integrations

No info available.
Claim TimesFM-3 and update features and information
Claim TimesFM-3 and update features and information
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Claim causaLens and update features and information